Abstract
Annotation: An analysis of the results of diagnosing melanocytic skin tumors using a robotic complex developed at the university with the participation of students was carried out. The analysis included 232 photographs after a questionnaire survey of 902 patients, most of whom are women of reproductive age. Photo and chromomicroscopic diagnostics on the a robotic complex (RK) made it possible to evaluate 90 microphotographs as melanoma-dangerous nevi and in 5 patients to identify them as superficial melanomas requiring treatment, including one woman during pregnancy. The calculation of the melanoma hazard index was carried out in an automated mode using a special formula. The RK program generates recommendations and a library of photographs of dangerous melanocytic skin tumors for subsequent clinical examination over time. After modeling melanocytic dysplasias and superficial melanomas, the logistics of “supervised neural network training” began.
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